Systematic Review of Prognosis Models in Predicting Tooth Loss in Periodontitis.

This study reviews and appraises the methodological and reporting quality of prediction models for tooth loss in periodontitis patients, including the use of regression and machine learning models. Studies involving prediction modeling for tooth loss in periodontitis patients were screened. A search was performed in MEDLINE via PubMed, Embase, and CENTRAL up to 12 February 2022, with citation chasing. Studies exploring model development or external validation studies for models assessing tooth loss in periodontitis patients for clinical use at any time point, with all prediction horizons in English, were considered. Studies were excluded if models were not developed for use in periodontitis patients, were not developed or validated on any data set, predicted outcomes other than tooth loss, or were prognostic factor studies. The CHARMS checklist was used for data extraction, TRIPOD to assess reporting quality, and PROBAST to assess the risk of bias. In total, 4,661 records were screened, and 45 studies were included. Only 26 studies reported any kind of performance measure. The median C-statistic reported was 0.671 (range, 0.57-0.97). All studies were at a high risk of bias due to inappropriate handling of missing data (96%), inappropriate evaluation of model performance (92%), and lack of accounting for model overfitting in evaluating model performance (68%). Many models predicting tooth loss in periodontitis are available, but studies evaluating these models are at a high risk of bias. Model performance measures are likely to be overly optimistic and might not be replicated in clinical use. While this review is unable to recommend any model for clinical practice, it has collated the existing models and their model performance at external validation and their associated sample sizes, which would be helpful to identify promising models for future external validation studies.

Tooth loss during supportive periodontal care: A prospective study.

AIM: To assess periodontal stability and the association between tooth- and patient-related factors and tooth loss during supportive periodontal care (SPC). MATERIALS AND METHODS: A prospective observational study was carried out on previously treated periodontitis patients followed up for 5 years in SPC. The risk profile (low, moderate, high) of each patient based on periodontal risk assessment (PRA) scoring at baseline was evaluated, and tooth loss rates were analysed. RESULTS: Two hundred patients were included in the study, and 143 had 5-year follow-up data available for analysis. The overall annual tooth loss per patient was 0.07 ± 0.14 teeth/patient/year. Older age, smoking, staging and grading were associated with increased tooth loss rates. Most patients whose teeth were extracted belonged to the PRA high-risk group. Both PRA and a tooth prognosis system used at baseline showed high negative predictive value but low positive predictive value for tooth loss during SPC. CONCLUSIONS: Overall, the tooth loss rate of periodontitis patients in this prospective cohort study under SPC in private practice was low. Both tooth-based and patient-based prognostic systems can identify high-risk cases, but their positive predictive value should be improved.

Exploring Oral Function, Protein Intake, and Risk of Sarcopenia: A Scoping Review.

INTRODUCTION: Sarcopenia is loss of both muscle mass and function with age and is associated with inadequate protein intake. However, evidence to suggest an association with oral health is less clear. OBJECTIVE: To scope peer-reviewed published evidence (2000-2022) pertaining to oral function in relation to sarcopenia and/or protein intake in older people. METHODS: CINAHL, Embase, PubMed, and Scopus were searched. Included were peer-reviewed studies measuring oral function (e.g., tooth loss, salivary flow masticatory function, strength of muscles of mastication, and tongue pressure) and a measure of protein intake and/or a measure of sarcopenia (appendicular muscle mass and function). Full article screening was conducted by 1 reviewer with a random 10% screened in duplicate by a second reviewer. Relevant content pertaining to study type, country of origin, measures of exposure, and outcomes and key findings was mapped and the balance of data showing a positive versus null association of oral health with outcomes charted. RESULTS: Of 376 studies identified, 126 were screened in full, yielding 32 included texts, of which 29 were original articles. Seven reported intake of protein and 22 reported measures of sarcopenia. Nine distinct oral health exposures were identified, with ≤4 studies relating to any one of these measures. Most data were cross-sectional in nature (27 studies) and from Japan (20 studies). The balance of data showed associations between tooth loss and measures of sarcopenia and protein intake. However, the balance of data pertaining to any association between chewing function, tongue pressure, or indices of oral hypofunction and sarcopenia was mixed. CONCLUSION: A broad range of oral health measures have been studied in relation to sarcopenia. The balance of data suggests that tooth loss is associated with risk, but data pertaining to the oral musculature and indices of oral hypofunction are mixed. KNOWLEDGE TRANSFER STATEMENT: The findings of this research will increase awareness among clinicians of the amount and nature of evidence pertaining to the relationship between oral health and risk of compromised muscle mass and function, including data showing that loss of teeth is associated with increased risk of sarcopenia in older people. The findings highlight to researchers the gaps in the evidence and where further research and clarification of the relationship between oral health and risk of sarcopenia is warranted.

Association of Dental Infections with Intracranial Atherosclerotic Stenosis.

INTRODUCTION: Periodontal disease (PD) and dental caries are oral infections leading to tooth loss that are associated with atherosclerosis and cerebrovascular disease. We assessed the hypothesis that PD and caries are associated with asymptomatic intracranial atherosclerosis (ICAS) in the Atherosclerosis Risk in Communities (ARIC) study. METHODS: Full-mouth clinical periodontal measurements (7 indices) collected at 6 sites per tooth from 6,155 subjects from the Dental Atherosclerosis Risk in Communities Study (DARIC) without prior stroke were used to differentiate seven PD stages (Periodontal Profile Class [PPC]-I to -VII) and dental caries on coronal dental surface (DS) and dental root surface (DRS). A stratified subset underwent 3D time-of-flight MR angiogram and 3D high isotropic-resolution black blood MRI. ICAS was graded according to the criteria established by the Warfarin-Aspirin Symptomatic Intracranial Disease (WASID) trial. We evaluated the relationship between PD stage and dental caries with asymptomatic ICAS, graded as no ICAS, <50% ICAS, and ≥50% ICAS. RESULTS: Among dentate subjects who underwent vascular imaging, 801 (70%) had no ICAS, 232 (20%) had <50% ICAS, and 112 (10%) had ≥50% ICAS. Compared to participants without gum disease (PPC-I), participants with mild-moderate tooth loss (PPC-VI), severe tooth loss (PPC-VII), and severe PD (PPC-IV) had higher odds of having <50% ICAS. Participants with extensive gingivitis (PPC-V) had significantly higher odds of having ≥50% ICAS. This association remained significant after adjusting for confounding variables: age, gender, race, hypertension, diabetes, dyslipidemia, 3-level education, and smoking status. There was no association between dental caries (DS and DRS) and ICAS <50% and ≥50%. CONCLUSION: We report significant associations between mild-moderate tooth loss, severe tooth loss, and severe PD with <50% ICAS as well as an association between extensive gingivitis and ≥50% ICAS. We did not find an association between dental caries and ICAS.

Tooth loss is associated with prevalent diabetes and incident diabetes in a longitudinal study of adults in Ireland.

AIM: The aim of this study was to explore the relationship between periodontal status, tooth loss and diabetes among community-dwelling adults aged 50 years and over in Ireland. METHODS: From respondents who attended a health assessment in Wave 3 of the Irish Longitudinal Study on Ageing (TILDA), an opportunistic sample was selected for an oral health examination. The oral health examination criteria were used in previous Irish surveys and WHO recommendations. For diabetes, the self-reported and objectively measured data on diabetes for the same cohort from Wave 3 to Wave 5 of TILDA was used. Multinomial regression analysis was used to evaluate the relationship between diabetes and tooth loss and tooth loss and incident diabetes, controlling for other covariates. RESULTS: Out of the 3111 people who were offered an oral health assessment 2539 were examined. For the purposes of analysis, the adults below 50 years of age (n = 31) and those with an incomplete oral health assessment (n = 4) were omitted from the sample. The final sample consisted of 2504 people, giving a response rate of 80.5%. Among the study sample, 9.9% (n = 249) were edentate; 35.7% (n = 895) had 1-19 teeth and 54.4% (n = 1360) had ≥20 teeth. From the sample of 2504 adults, 2358 had HbA1c results and 8.4% (n = 198) of these had diabetes according to the TILDA criteria. Multinomial regression analysis showed that diabetes was associated with tooth loss. Diabetes at Wave 3 was associated with a higher rate of being edentate (PR 2.12, 95% CI 1.27-3.52) relative to having ≥20 teeth while controlling for the effect of age, gender, education level, area of residence, body mass index (BMI) and smoking. Furthermore, having 1-19 teeth at Wave 3 was associated with incident diabetes over a 4-year follow-up (OR 1.94, 1.00-3.75). There was no evidence of an association between diabetes and periodontal status as measured in this sample. CONCLUSION: The results suggested that diabetes was associated with tooth loss and that this relationship may be bi-directional among community-dwelling adults aged 50 years and over in Ireland, but they do not support a relationship between diabetes and periodontal status in this sample.

Patient-reported outcomes following dental implant rehabilitation according to reason for missing teeth: A survey from a Norwegian population 8 years following treatment.

AIM: The aim of this study was to assess patient-reported outcomes (PROs) 8 years after dental implant rehabilitation in a sample with tooth loss due to periodontitis (TLP) and a sample with missing teeth for other reasons (MTOR). MATERIALS AND METHODS: The Norwegian National Insurance Scheme registry of subsidized dental implant therapy was searched, and patients (n = 3083) rehabilitated with dental implants in 2014 were mailed a questionnaire. PROs were described by relative frequencies, and the TLP and MTOR subsamples were compared using chi-square test. Multiple linear regression analyses were used to investigate variables potentially predicting PROs. RESULTS: Of the respondents (n = 1299), more than 90% were partly or fully satisfied with the treatment outcome. Complications were reported by 44.2%. Patients who lost teeth due to periodontitis (n = 784) reported greater oral function improvement and better pre-treatment information, and were more likely to experience complications when compared with patients who lost teeth for other reasons (n = 515). Age, level of education, self-funded cost, pre-treatment information, history of complications and the reason for missing teeth were found to predict PROs. CONCLUSIONS: In a Norwegian population rehabilitated with dental implants in 2014, satisfaction with the treatment outcome and the aesthetic outcome was high, irrespective of the reason for missing teeth. Self-report of complications and lack of pre-treatment information were the strongest predictors of inferior patient satisfaction and also predicted inferior oral function.

Association of periodontitis and tooth loss with extent of coronary atherosclerosis in patients with type 2 diabetes mellitus.

Aim: The objective was to investigate the association of periodontitis and tooth loss with extent of diabetic coronary atherosclerosis. Materials and methods: 272 patients who were hospitalized at Shanghai East hospital and underwent a coronary artery calcium (CAC) CT scan were enrolled in this study. Individuals were grouped based on their CAC scores into a normal-to-mild coronary atherosclerosis (AS) group (0 ≤ score ≤ 100, n=184) and a moderate-to-severe group (score≥101, n=88). Periodontitis parameters and number of missing teeth were evaluated for every patient. The severity of periodontitis was categorized as mild, moderate, or severe. The taxonomic composition of the microbiota was determined using full-length 16S ribosomal RNA gene sequencing. Salivary inflammatory factors were tested by ELISA. Results: Clinical attachment loss (CAL) (P =0.05) and the number of teeth lost (P = 0.016) were significantly higher in the moderate-to-severe coronary AS group, with these differences being more obvious in younger patients and patients with short-duration diabetes. Multivariate logistic regression analysis revealed that CAL (OR = 1.231, 95% CI = 1.066-1.214, P = 0.047) and having 10-19 missing teeth (OR = 1.604, 95% CI = 1.393-6.555, P = 0.05) were strongly associated with the presence of moderate-to-severe coronary AS. Salivary IL-6 and TNF-α levels, as well as levels of Porphyromonas gingivalis and Neisseria mucosa, were significantly elevated in the moderate-to-severe coronary AS group. Conclusion: It was found that both tooth loss and CAL were related to the extent of diabetic coronary AS. Saliva inflammatory factors and oral bacteremia may be new biomarkers for moderate-to-severe coronary AS.

[Research progress in the association between tooth loss and cognitive decline in the elderly population].

China is one of the countries with the highest population aging rate in the world, and the oral health of the elderly population has become increasing significant for the realization of healthy aging. Tooth loss is considered as the marker of oral disease burden. In recent years, a growing number of findings have suggested an association between tooth loss and cognitive decline. Also, given that cognitive function plays a crucial role in oral health, future researches should elucidate their bidirectional causal relationship, based on prospective cohort design that regularly monitors tooth loss and cognitive function. This article reviews the current research threads in terms of epidemiological evidences of the association, brain structure and function, and possible bidirectional associations and mechanisms, providing a theoretical basis for promoting healthy aging.

Upper gastrointestinal tract microbiota with oral origin in relation to oesophageal squamous cell carcinoma.

Introduction: Poor oral hygiene is linked to high risks of many systemic diseases, including cancers. Oral dysbiosis is closely associated with poor oral hygiene, causing tooth loss, gingivitis, and periodontitis. We provide a summary of studies and discuss the risk factors for oesophageal squamous cell carcinoma (ESCC) from a microbial perspective in this review.Methods: A literature search of studies published before December 31, 2022 from PubMed, Web of Science, and The Cochrane Library was performed. The search strategies included the following keywords: (1) oral care, oral health, oral hygiene, dental health, dental hygiene, tooth loss, teeth loss, tooth absence, missing teeth, edentulism, tooth brushing, mouthwash, and tooth cleaning; (2) esophageal, esophagus, oesophagus, and oesophageal; (3) cancer, carcinoma, tumor, and neoplasm.Discussion: Poor oral health, indicated by infrequent tooth brushing, chronic periodontitis, and tooth loss, has been associated with an increased risk of squamous dysplasia and ESCC. Oral microbial diversity and composition are profoundly dysregulated during oesophageal tumorigenesis. Similar to the oral microbiota, the oesophageal microbiota varies distinctly in multiple bacterial taxa in ESCC and gastric cardia adenocarcinoma, both of which have high co-occurrence rates in the "Oesophageal Cancer Belt". In addition, the potential roles of oncogenic viruses in ESCC have also been discussed. We also briefly explore the potential mechanisms underlying the tumor-promoting role of dysregulated microbiota for the development of therapeutic targeting strategies.Conclusion: Poor oral health is an established risk indicator of ESCC. The dysbiosis of microbiota in upper gastrointestinal tract that highly resembles the oral microbial ecosystem but with distinct features at individual sites contributes to the development and progression of ESCC.

Alveolar bone loss and tooth loss contribute to increase in cancer mortality among older patients.

BACKGROUND: Both cancer and periodontitis are more prevalent with age. Information on their relationship in older patients is limited. This study aims to examine whether periodontitis is associated with increased risk of cancer mortality with a ≥ 75-year age group cohort. METHODS: A retrospective cohort study was conducted on 1146 patients who had digital radiographic examinations. Alveolar bone loss and loss of teeth were measured as indicators of periodontitis. Hazard ratio (HR) with 95% confidence interval (CI) were taken as the effect size to summarize the associations between periodontitis and risks of cancer mortality using the multivariate adjusted cox proportional hazards model and competing risk hazard model. RESULTS: Totally, 104 total cancer, 28 lip, oral cavity and pharynx (LOP) cancer, 39 digestive cancer and 13 respiratory cancer cases were documented over 10 years of follow-up. Total cancer (HR 1.27, 95% CI 1.06-1.53) displayed statistically significant associations with alveolar bone loss and tooth loss after adjusting for relevant confounding variables. We also observed borderline significant association between alveolar bone loss and LOP cancer (HR 1.45, 95% CI 0.99-2.12). The above associations were consistent with the results observed from the competing risk hazard models. CONCLUSION: Our results indicate that older patients suffering from tooth loss or alveolar bone loss are at increased risks of cancer mortality, especially for total cancer and LOP cancer.

Association of Tooth Loss with Alzheimer's Disease Tau Pathologies Assessed by Positron Emission Tomography.

BACKGROUND: Deterioration of the oral environment is one of the risk factors for dementia. A previous study of an Alzheimer's disease (AD) model mouse suggests that tooth loss induces denervation of the mesencephalic trigeminal nucleus and neuroinflammation, possibly leading to accelerated tau dissemination from the nearby locus coeruleus (LC). OBJECTIVE: To elucidate the relevance of oral conditions and amyloid-ß (Aß) and tau pathologies in human participants. METHODS: We examined the number of remaining teeth and the biofilm-gingival interface index in 24 AD-spectrum patients and 19 age-matched healthy controls (HCs). They also underwent positron emission tomography (PET) imaging of Aß and tau with specific radiotracers, 11C-PiB and 18F-PM-PBB3, respectively. All AD-spectrum patients were Aß-positive, and all HCs were Aß-negative. We analyzed the correlation between the oral parameters and radiotracer retention. RESULTS: No differences were found in oral conditions between the AD and HC groups. 11C-PiB retentions did not correlate with the oral indices in either group. In AD-spectrum patients, brain-wide, voxel-based image analysis highlighted several regions, including the LC and associated brainstem substructures, as areas where 18F-PM-PBB3 retentions negatively correlated with the remaining teeth and revealed the correlation of tau deposits in the LC (r = -0.479, p = 0.018) primarily with the hippocampal and neighboring areas. The tau deposition in none of the brain regions was associated with the periodontal status. CONCLUSIONS: Our findings with previous preclinical evidence imply that tooth loss may enhance AD tau pathogenesis, promoting tau spreading from LC to the hippocampal formation.

Periodontal disease is not associated with risk of inflammatory bowel disease: Results from two prospective cohort studies in the US.

AIM: To examine the relationship between periodontal disease and tooth loss and risk of inflammatory bowel disease (IBD). METHODS: We conducted a prospective cohort study of 86,602 women from the Nurses' Health Study (1992-2016) and 50,349 men from the Health Professionals Follow-up Study (1986-2016) with available data on periodontal disease and tooth loss. Cases of IBD were initially reported by participants and then confirmed by medical record review. We used Cox proportional hazards modelling to estimate multivariable-adjusted hazard ratios (aHRs) and 95% CIs. RESULTS: Through the end of follow-up, we documented 175 cases of Crohn's disease (CD) and 209 cases of ulcerative colitis (UC). After adjustment for potential risk factors, there was no association between periodontal disease and risk of CD (pooled aHR: 0.99, 95% CI: 0.65-1.52, p = 0.970) or UC (aHR: 0.99, 95% CI: 0.68-1.45, p = 0.971). Similarly, we did not observe an association between tooth loss and risk of CD (aHR: 0.72, 95% CI: 0.43-1.21, p = 0.218) or UC (aHR: 0.89, 95% CI: 0.58-1.36, p = 0.581) in the pooled analysis. The associations were not modified by sex, age, body mass index (BMI), smoking status or NSAID use (all pinteraction > 0.87). CONCLUSION: In two large prospective cohort studies, we did not observe an association between periodontal disease and tooth loss and risk of CD or UC.

Untreated osteoporosis and higher FRAX as risk factors for tooth loss: a 5-year prospective study.

INTRODUCTION: Studies have shown that an impaired bone condition, represented by osteoporosis and increased fracture risk, may potentially aggravate periodontal disease and, consequently, the risk of tooth loss. This 5-year prospective study aimed to investigate whether systemic bone condition represents risk factor for tooth loss due to periodontal disease amongst elderly women. MATERIAL AND METHODS: Seventy-four participants, aged ≥ 65 years, who attended the 5-years recall for periodontal evaluation were involved. Baseline exposures were osteoporosis and fracture risk probabilities (FRAX). Women were grouped according to bone mineral density (BMD) and years of bone treatment for osteoporosis. The primary outcome at a 5-year follow-up was the number of tooth loss due to periodontal disease. Periodontitis staging and grading, and causes of tooth loss were recorded. RESULTS: The multivariate Poisson regression models showed that women with untreated/shortly treated osteoporosis were 4 times more likely to present higher number of tooth loss due to periodontal disease than those with normal BMD or treated for ≥ 3 years (risk ratio (RR) = 4.00, 95% CI 1.40-11.27). Higher FRAX was also linked to tooth loss (RR = 1.25, 95% CI 1.02-1.53). Receiver-operating characteristic (ROC) curve suggested that women with history of ≥ 1 tooth losses have higher chances of worse major FRAX (sensitivity = 72.2%; specificity = 72.2%). CONCLUSION: In this 5-year study, higher FRAX and untreated osteoporosis were risk factors for tooth loss. Women with normal BMD or treated for osteoporosis for ≥ 3 years did not show increased risk. Management of skeletal conditions should be emphasized with periodontal care for the prevention of tooth loss in elderly women.

Association of tooth count with cognitive decline and dementia in the Finnish adult population.

AIM: To evaluate whether tooth loss is associated with cognitive decline and incident dementia. MATERIALS AND METHODS: We analysed data from the Finnish population-based Health 2000 and follow-up Health 2011 surveys (participants aged ≥30 years and without dementia at baseline; N = 5506 at baseline and 3426 at 11-year follow-up). Dementia diagnoses until 2015 were ascertained from national registers (N = 5542). Tooth count was dichotomized as adequate (≥20) versus tooth loss (<20). Tooth loss was further stratified into 10-19 teeth, 1-9 teeth and edentulism. Upper and lower jaws were also considered separately. Baseline cognitive test scores were dichotomized by median as high versus low, and 11-year change as decline versus no decline. RESULTS: Tooth loss (<20) was associated with lower baseline overall cognition (odds ratio [OR] = 1.21, 95% confidence interval [CI] = 1.03-1.43), 11-year cognitive decline (OR = 1.30, 95% CI = 1.05-1.70) and higher 15-year dementia risk (hazard ratio = 1.52, 95% CI = 1.15-2.02) after adjusting for multiple confounders. After adjustment for dentures, associations became non-significant, except for 10-19 teeth remaining and dementia. Results were similar after considering reverse causality bias; however, 10-19 teeth remaining was significantly associated with 11-year cognitive decline even after adjustment for dentures. No jaw-specific differences were observed. CONCLUSIONS: Tooth loss adversely impacts the risk of cognitive decline and dementia. The role of dentures should be further explored.

Tooth loss, denture use, and all-cause and cause-specific mortality in older adults: a community cohort study.

Objectives: The available evidence on the connections between tooth loss, denture use, and mortality from all causes or specific causes among older adults is inconclusive. Therefore, we aimed to investigate the association between tooth loss, denture use, and all-cause and cause-specific mortality in older adults. Methods: A cohort of 5,403 participants aged 65 and older were recruited in the 2014 Chinese Longitudinal Healthy Longevity Survey wave and followed up in the 2018 wave. Cox proportional hazard models were used to examine the association between the number of natural teeth, denture use, and all-cause and cause-specific mortality. Results: During a mean (SD) follow-up of 3.1 years (1.3), 2,126 deaths (39.3%) occurred. Individuals with 0 and 1-9 teeth had higher mortality due to all-cause, cardiovascular disease (CVD), cancer, and other causes (all p-trend <0.05) than those with 20+ teeth. At the same time, no association was found with respiratory disease mortality. Participants who used dentures had lower mortality due to all causes [hazard ratios (HR) 0.79, 95% confidence intervals (CI) 0.71-0.88], CVD (HR 0.80, 95% CI 0.64-1.00), respiratory disease (HR 0.66, 95% CI 0.48-0.92), and other causes (HR 0.77, 95% CI 0.68-0.88) than those without dentures. Joint analysis revealed that older adults with fewer natural teeth and no dentures had higher mortality. Additionally, interaction analyses showed that the effects of the number of natural teeth on all-cause mortality were more pronounced in older adults aged <80 years (p-value for interaction = 0.03). Conclusion: Having fewer natural teeth, particularly less than 10 teeth, is linked to an increased risk of mortality from all causes, including CVD, cancer, and other causes, but not respiratory disease. The use of dentures would mitigate the adverse impact of tooth loss on all-cause and some cause-specific mortality.

Associations between missing teeth and the risk of cancer in Korea: a nationwide cohort study.

BACKGROUND: Poor dental health is correlated with an increased risk of cancer. Using a nationwide population cohort database, we investigated which cancer is highly associated with poor dental health and which dental indicator mostly influences cancer risk. METHODS: This study was conducted using the National Health Checkups (NHC) and National Health Insurance System (NHIS) database in Korea. NHC in Korea includes dental examinations. We retrieved subjects who underwent NHC between 2002 and 2003 and their medical information in NHIS database was followed until December 31,2015. RESULTS: Data for 200,170 who participated in the NHC between 2002 and 2003 were analysed. During the maximum follow-up period of 13 years, 15,506 (7.75%) subjects were diagnosed with cancer. The median time to cancer diagnosis after the dental examination was 87 months (range, 51-119 months). The proportion of people with missing teeth was higher in the cancer-diagnosed group than in the non-diagnosed group (26.27% vs. 22.59%, p < 0.001). Among several dental health factors, missing teeth were significantly associated with higher cancer risk. Subjects with missing teeth showed a 12% increased cancer risk compared to those without missing teeth (odds ratio [OR] 1.12, 95% confidence interval [CI], 1.08-1.16). The risk was significantly higher, especially in lung, head and neck, pancreatic, liver, biliary, and esophageal cancers (OR 1.27 [95% CI, 1.14-1.41], 1.32 [95% CI, 1.13-1.55], 1.27 [95% CI, 1.02-1.58], 1.24 [95% CI, 1.1-1.4], 1.28 [95% CI, 1.03-1.6], 1.4 [95% CI, 1.04-1.88], respectively). CONCLUSIONS: Missing teeth were the most important dental indicator associated with cancer risk. Korean adults with missing teeth should be cautious about the risk of several cancers, particularly head and neck, lung, gastrointestinal, hepatobiliary, and pancreatic cancer.

Social participation and tooth loss, vision, and hearing impairments among older Brazilian adults.

BACKGROUND: Vision and hearing impairments can reduce participation in social activities. Given the prominent role of the mouth in face-to-face interactions, this study evaluated the associations of tooth loss, vision, and hearing impairments with social participation among older adults. METHODS: This analysis included 1947 participants, aged 60+ years, who participated in three waves (2006, 2010, and 2015) of the Health, Wellbeing and Aging Study (SABE) in Brazil. Social participation was measured by the number of formal and informal social activities (requiring face-to-face interaction) participants were regularly involved in. Teeth were counted during clinical examinations and categorized as 0, 1-19, and 20+ teeth. Reports on vision and hearing impairments were classified into three categories (good, regular, and poor). The associations of each impairment with the 9-year change in the social participation score were tested in negative binomial mixed-effects models adjusting for time-variant and time-invariant covariates. RESULTS: Each impairment was associated with the baseline social participation score and the annual rate of change in the social participation score. Participants with 1-19 (incidence rate ratio: 0.96, 95% CI: 0.91-1.01) and no teeth (0.92, 95% CI: 0.87-0.97), those with regular (0.98, 95% CI: 0.95-1.01) and poor vision (0.86, 95% CI: 0.81-0.90), and those with regular (0.94, 95% CI: 0.91-0.98) and poor hearing (0.91, 95% CI: 0.87-0.95) had lower baseline social participation scores than those with 20+ teeth, good vision, and good hearing, respectively. Furthermore, participants with 1-19 (0.996, 95% CI: 0.990-1.002) and no teeth (0.994, 95% CI: 0.987-0.999), those with regular (0.996, 95% CI: 0.992-0.999) and poor vision (0.997, 95% CI: 0.991-1.003), and those with regular (0.997, 95% CI: 0.992-1.001) and poor hearing (0.995, 95% CI: 0.990-0.999) had greater annual declines in the social participation score than those with 20+ teeth, good vision and good hearing, respectively. CONCLUSION: This 9-year longitudinal study shows that tooth loss, vision, and hearing impairments are associated with reduced social participation among older adults.

Longitudinal association of edentulism with cognitive impairment, sarcopenia and all-cause mortality among older Chinese adults.

BACKGROUND: Tooth loss may be a surrogate for systemic health and aging. However, no previous studies have systematically assessed multiple outcomes relevant to aging trajectory in this area, and many important confounders were not adjusted in most previous studies. This study aims to prospectively evaluate the associations of complete tooth loss (edentulism) with broad markers of sarcopenia, cognitive impairment and mortality. METHODS: Data were derived from the China Health and Retirement Longitudinal Study, a nationally representative household study of the Chinese population aged 45 years and older. Multivariate Weibull proportional hazards regression was used to assess the association between edentulism with sarcopenia and all-cause mortality. Average changes in cognitive function by edentulism was estimated by mixed-effects linear regression models. RESULTS: During the 5-year follow-up, the prevalence of edentulism among adults aged 45 and over was 15.4%. Participants with edentulism had a greater decline in cognitive function compared to those without (ß=-0.70, 95%CI:-1.09, -0.31, P < 0.001). The association of edentulism and all-cause mortality for 45-64 age group (HR = 7.50, 95%CI: 1.99, 28.23, P = 0.003), but not statistically significant for the ≥ 65 age group (HR = 2.37, 95%CI: 0.97, 5.80, P = 0.057). Effects of edentulism on sarcopenia are statistically significant for all age groups (45-64 age group: HR = 2.15, 95%CI: 1.27, 3.66, P = 0.005; ≥65 age group: HR = 2.15, 95%CI: 1.27, 3.66, P = 0.002). CONCLUSIONS: These findings could have important clinical and public health implications, as tooth loss is a quick and reproducible measurement that could be used in clinical practice for identifying persons at risk of accelerated aging and shortened longevity, and who may benefit most from intervention if causality is established.

Association between adverse oral conditions and cognitive impairment: A literature review.

Oral environment deterioration results from a lack of self-cleaning ability in patients with cognitive dysfunction but is also a risk factor for cognitive dysfunction. Adverse oral conditions can be alleviated and improved through a self-management and medical examination. In this review, the epidemiological evidence of previous studies is integrated to highlight the relationship between periodontitis, tooth loss, oral flora, oral dysfunction and cognitive dysfunction, emphasizing the importance of oral health for cognition. The results show that poor oral condition is associated with cognitive impairment. Although many previous studies have been conducted, there is a lack of higher-level research evidence, different judgment criteria, and conflicting research results. There is a bidirectional relationship between oral health and cognitive dysfunction. A comprehensive analysis of the relationship between oral health and cognitive dysfunction that explores the relationship and takes measures to prevent cognitive dysfunction and control the progression of such diseases is warranted in the future.

Association of Tooth Loss and Diet Quality with Acceleration of Aging: Evidence from NHANES.

BACKGROUND: Although tooth loss is widely recognized as a typical sign of aging, whether it is associated with accelerated aging, and to what extent diet quality mediates this association are unknown. METHODS: Data were collected from the National Health and Nutrition Examination Survey. The missing tooth counts were recorded as the number of edentulous sites. Phenotypic accelerated aging was calculated using 9 routine clinical chemistry biomarkers and chronological age. Healthy Eating Index 2015 (HEI-2015) score was used to evaluate diet quality. Multivariate logistic regression and linear regression were used to analyze the association between tooth loss and accelerated aging. Mediation analyses were used to examine the mediation role of diet quality in the association. RESULTS: The association between tooth loss and accelerated aging was confirmed. The highest quartile of tooth loss showed a positive association with accelerated aging (ß=1.090; 95% confidence interval, 0.555 to 1.625; P < .001). Diet quality decreased with increase number of missing teeth and showed a negative association with accelerated aging. Mediation analysis suggested that the HEI-2015 score partially mediated the association between tooth loss and accelerated aging (proportion of mediation: 5.302%; 95% confidence interval, 3.422% to 7.182%; P < .001). Plant foods such as fruits and vegetables were considered the key mediating food. CONCLUSIONS: The association between tooth loss and accelerated aging, as well as the partially mediating role of dietary quality in this association was confirmed. These findings suggested that more attention should be paid to the population with severe tooth loss and the changes of their dietary quality.